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» Extracting the Essence from Sets of Images
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132
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ECCV
2008
Springer
15 years 3 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
15 years 8 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
139
Voted
CVPR
2012
IEEE
13 years 4 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
CVGIP
2007
136views more  CVGIP 2007»
15 years 1 months ago
Contour-based surface reconstruction using MPU implicit models
This paper presents a technique for creating a smooth, closed surface from a set of 2D contours, which have been extracted from a 3D scan. The technique interprets the pixels that...
Ilya Braude, Jeffrey Marker, Ken Museth, Jonathan ...
118
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Publication
258views
14 years 11 months ago
iModel: Interactive Co-segmentation for Object of Interest 3D Modeling
We present an interactive system to create 3D models of objects of interest in their natural cluttered environments. A typical setting for 3D modeling of an object of interest invo...
Adarsh Kowdle, Wen-Chao Chen, Dhruv Batra, Tsuhan ...